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Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels

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Researchers achieved an 84% reduction in LLM memory usage through fused kernel optimization. The analysis reveals how final layers cause out-of-memory errors and presents a custom Triton kernel solution. This technique significantly improves efficiency without sacrificing performance, enabling larger models on limited hardware resources.

LLM-geheugen met 84% teruggebracht: Een diepgaande analyse van gefuseerde kernels - Mediazone AI News